Gender: Female 
Age: 25-34
Nationality: United States
Ethnicity: Black or African American 
Marital status: Married 
First language: English 
Religion: Other, please specify. Agnostic
Education: Graduate degree
Mother's education: High school or below
Father's education: High school or below
Self-assessed socioeconomic status (1-10): 5
Home: Rent 
Employment: Employed full time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Father's occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Hobbies: Listen to hiphop and rap;Listen to jazz;Go to gigs;Exercise;Use social media 
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Spell checker (i.e., correcting misspellings);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa);Grammar checker (i.e., correcting grammar mistakes) 
NLP tools used: Grammar checker (i.e., correcting grammar mistakes);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Spell checker (i.e., correcting misspellings);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools they would find useful: Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Text-to-Speech (i.e, computers being able to read out loud written language) 
Frequency of LLM use: Every day
LLMs used: ChatGPT;Google Gemini;Microsoft Bing AI;Character.AI 
LLM use cases: Writing (e.g., composing emails);Summarizing long texts;Paraphrasing or finding synonyms 
Contexts of LLM use: Work;School/University;Personal 
Prompt 1: What's the best way to stay productive while working from home?
Prompt 2: Can you summarize the main points of the latest economic report?
Prompt 3: What are some effective strategies for managing time during a busy workweek?
Prompt 4: How can I improve my communication skills in the workplace?
Prompt 5: What are the top 5 books on personal development?
Prompt 6: Can you explain the difference between machine learning and deep learning?
Prompt 7: I need some tips on organizing my to-do list, any suggestions?
Prompt 8: What are some fun activities to do with friends during a weekend trip
Prompt 9: Can you help me draft a professional email to request time off from work?
Prompt 10: Can you help me brainstorm some creative ideas for a new blog post?
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